Bayesian Inference

Event Temporal Relation Extraction with Bayesian Translational Model EACL 2023 Evidential Conditional Neural Processes AAAI 2023 Expectation consistency for calibration of neural networks UAI 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Exploration via Epistemic Value Estimation AAAI 2023 Exponential Smoothing for Off-Policy Learning ICML 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata IJCAI 2023 Faster Minimum Bayes Risk Decoding with Confidence-based Pruning EMNLP 2023 Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023 Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023 Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Federated Neural Bandits ICLR 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 Filling the population statistics gap: Swiss German reference data on F0 and speech tempo for forensic contexts Interspeech 2023 Fine-Tuning Generative Models as an Inference Method for Robotic Tasks CoRL 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 Fisher Information Embedding for Node and Graph Learning ICML 2023 Fisher information lower bounds for sampling ALT 2023